ORCID Profile
0000-0002-5162-1793
Current Organisations
Queensland University of Technology (QUT)
,
Queensland University of Technology School of Teacher Education and Leadership
,
Queensland University of Technology
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Adaptive Agents and Intelligent Robotics | Artificial Intelligence and Image Processing | Neurosciences not elsewhere classified | Computer Vision | Transport Engineering | Ore Deposit Petrology | Geochemistry | Biomechanical Engineering | Aerospace Engineering | Satellite, Space Vehicle and Missile Design and Testing | Exploration Geochemistry | Human-computer interaction | Geochronology | Computer-Human Interaction | Automotive mechatronics and autonomous systems | Human Movement and Sports Science | Autonomous Vehicles | Mechanical Engineering | Mining Engineering | Biomechanics | Human-centred computing
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Medical and Health Sciences | Road Safety | Plant Production and Plant Primary Products not elsewhere classified | Computer Software and Services not elsewhere classified | Manufacturing not elsewhere classified | Mining Soils | Application Tools and System Utilities | Automotive Equipment | Expanding Knowledge in the Biological Sciences | Copper Ore Exploration | Space Transport |
Related Links
Publications
Online place recognition calibration for out-of-the-box SLAM
Publisher: IEEE
Date: 09-2015
Unsupervised Selection of Optimal Operating Parameters for Visual Place Recognition Algorithms Using Gaussian Mixture Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
3D tracking of water hazards with polarized stereo cameras
Publisher: IEEE
Date: 05-2017
RatSLAM on the edge: Revealing a coherent representation from an overloaded rat brain
Publisher: IEEE
Date: 10-2006
Improving Road Segmentation in Challenging Domains Using Similar Place Priors
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Bio-inspired homogeneous multi-scale place recognition
Publisher: Elsevier BV
Date: 12-2015
DOI: 10.1016/J.NEUNET.2015.10.002
Abstract: Robotic mapping and localization systems typically operate at either one fixed spatial scale, or over two, combining a local metric map and a global topological map. In contrast, recent high profile discoveries in neuroscience have indicated that animals such as rodents navigate the world using multiple parallel maps, with each map encoding the world at a specific spatial scale. While a number of theoretical-only investigations have hypothesized several possible benefits of such a multi-scale mapping system, no one has comprehensively investigated the potential mapping and place recognition performance benefits for navigating robots in large real world environments, especially using more than two homogeneous map scales. In this paper we present a biologically-inspired multi-scale mapping system mimicking the rodent multi-scale map. Unlike hybrid metric-topological multi-scale robot mapping systems, this new system is homogeneous, distinguishable only by scale, like rodent neural maps. We present methods for training each network to learn and recognize places at a specific spatial scale, and techniques for combining the output from each of these parallel networks. This approach differs from traditional probabilistic robotic methods, where place recognition spatial specificity is passively driven by models of sensor uncertainty. Instead we intentionally create parallel learning systems that learn associations between sensory input and the environment at different spatial scales. We also conduct a systematic series of experiments and parameter studies that determine the effect on performance of using different neural map scaling ratios and different numbers of discrete map scales. The results demonstrate that a multi-scale approach universally improves place recognition performance and is capable of producing better than state of the art performance compared to existing robotic navigation algorithms. We analyze the results and discuss the implications with respect to several recent discoveries and theories regarding how multi-scale neural maps are learnt and used in the mammalian brain.
OpenSceneVLAD: Appearance Invariant, Open Set Scene Classification
Publisher: IEEE
Date: 23-05-2022
Improving condition- and environment-invariant place recognition with semantic place categorization
Publisher: IEEE
Date: 09-2017
Event-Based Visual Place Recognition With Ensembles of Temporal Windows
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Residual Reactive Navigation
Publisher: IEEE
Date: 05-2020
Population structure and gene flow in the global pest,Helicoverpa armigera
Publisher: Wiley
Date: 18-10-2016
DOI: 10.1111/MEC.13841
Abstract: Helicoverpa armigera is a major agricultural pest that is distributed across Europe, Asia, Africa and Australasia. This species is hypothesized to have spread to the Americas 1.5 million years ago, founding a population that is at present, a distinct species, Helicoverpa zea. In 2013, H. armigera was confirmed to have re-entered South America via Brazil and subsequently spread. The source of the recent incursion is unknown and population structure in H. armigera is poorly resolved, but a basic understanding would highlight potential biosecurity failures and determine the recent evolutionary history of region-specific lineages. Here, we integrate several end points derived from high-throughput sequencing to assess gene flow in H. armigera and H. zea from populations across six continents. We first assemble mitochondrial genomes to demonstrate the phylogenetic relationship of H. armigera with other Heliothine species and the lack of distinction between populations. We subsequently use de novo genotyping-by-sequencing and whole-genome sequences aligned to bacterial artificial chromosomes, to assess levels of admixture. Primarily, we find that Brazilian H. armigera are derived from erse source populations, with strong signals of gene flow from European populations, as well as prevalent signals of Asian and African ancestry. We also demonstrate a potential field-caught hybrid between H. armigera and H. zea, and are able to provide genomic support for the presence of the H. armigera conferta subspecies in Australasia. While structure among the bulk of populations remains unresolved, we present distinctions that are pertinent to future investigations as well as to the biosecurity threat posed by H. armigera.
An adaptive localization system for image storage and localization latency requirements
Publisher: Elsevier BV
Date: 09-2018
Maintaining a Cognitive Map in Darkness: The Need to Fuse Boundary Knowledge with Path Integration
Publisher: Public Library of Science (PLoS)
Date: 16-08-2012
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost
Publisher: IEEE
Date: 10-2019
Spatial cognition for robots: Robot navigation from biological inspiration
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2009
Meaningful Maps With Object-Oriented Semantic Mapping
Publisher: IEEE
Date: 09-2017
Visual Place Recognition: A Tutorial
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Sequence-Based Filtering for Visual Route-Based Navigation: Analyzing the Benefits, Trade-Offs and Design Choices
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Multiplicative controller fusion
Publisher: IEEE
Date: 24-10-2020
Boosting Performance of a Baseline Visual Place Recognition Technique by Predicting the Maximally Complementary Technique
Publisher: IEEE
Date: 29-05-2023
Condition-invariant, Top-down visual place recognition
Publisher: IEEE
Date: 05-2014
Expansion of the miRNA Pathway in the Hemipteran Insect Acyrthosiphon pisum
Publisher: Oxford University Press (OUP)
Date: 23-02-2010
Spatial mapping and map exploitation : a bio-inspired engineering perspective
Publisher: No publisher found
Date: 2007
Molecular detection of benzimidazole resistance in Haemonchus contortus using real-time PCR and pyrosequencing
Publisher: Cambridge University Press (CUP)
Date: 21-01-2009
DOI: 10.1017/S003118200800543X
Abstract: Benzimidazoles (BZ) are widely used to treat parasitic nematode infections of humans and animals, but resistance is widespread in veterinary parasites. Several polymorphisms in β-tubulin genes have been associated with BZ-resistance. In the present study, we investigated β-tubulin isotype 1 sequences of 18 Haemonchus contortus isolates with varying levels of resistance to thiabendazole. The only polymorphism whose frequency was significantly increased in the resistant isolates was TTC to TAC at codon 200. Real-time PCR (using DNA from 100 third-stage larvae, L3s) and pyrosequencing (from DNA from 1000–10 000 L3s) were used to measure allele frequencies at codon 200 of these isolates, producing similar results drug sensitivity decreased with increasing TAC frequency. Pyrosequencing was also used to measure allele frequencies at positions 167 and 198. We showed that such measurements are sufficient to assess the BZ-resistance status of most H. contortus isolates. The concordance between real-time PCR and pyrosequencing results carried out in different laboratories indicated that these tools are suitable for the routine diagnosis of BZ-resistance in H. contortus . The molecular methods were more sensitive than the ‘egg hatch test’, and less time-consuming than current in vivo - or in vitro -anthelmintic resistance detection methods. Thus, they provide a realistic option for routine molecular resistance testing on farms.
Efficacy and Resistance Management Potential of a Modified Vip3C Protein for Control of Spodoptera frugiperda in Maize
Publisher: Springer Science and Business Media LLC
Date: 11-2018
DOI: 10.1038/S41598-018-34214-Z
Abstract: A modified Vip3C protein has been developed that has a spectrum of activity that has the potential to be commercially useful for pest control, and shows good efficacy against Spodoptera frugiperda in insect bioassays and field trials. For the first time Vip3A and Vip3C proteins have been compared to Cry1 and Cry2 proteins in a complete set of experiments from insect bioassays to competition binding assays to field trials, and the results of these complementary experiments are in agreement with each other. Binding assays with radiolabelled toxins and brush border membrane vesicles from S . frugiperda and Helicoverpa armigera show that the modified Vip3C protein shares binding sites with Vip3A, and does not share sites with Cry1F or Cry2A. In agreement with the resulting binding site model, Vip3A-resistant insects were also cross-resistant to the modified Vip3C protein. Furthermore, maize plants expressing the modified Vip3C protein, but not those expressing Cry1F protein, were protected against Cry1F-resistant S . frugiperda in field trials.
Altered avr-14B gene transcription patterns in ivermectin-resistant isolates of the cattle parasites, Cooperia oncophora and Ostertagia ostertagi
Publisher: Elsevier BV
Date: 08-2011
DOI: 10.1016/J.IJPARA.2011.04.003
Abstract: Ivermectin (IVM) resistance is an emerging problem for the control of gastrointestinal nematodes of cattle such as Cooperia oncophora and Ostertagia ostertagi. Although there is still a poor understanding of the molecular basis of macrocyclic lactone (ML)-resistance, it is clear that IVM exerts its activity by binding to glutamate-gated chloride (GluCl) channels within the parasite's neuromuscular system. One of the GluCl genes (avr-14) encodes, via alternative splicing, two subunits, AVR-14A and AVR-14B the latter is suggested to be the main target for IVM. The genomic DNA (gDNA) sequence of avr-14 in C. oncophora contains 21 exons separated by 20 introns and spans approximately 10 kb of gDNA. Intron 13 contains a sequence with high homology to a mammalian mariner transposase. The L256F polymorphism in the avr-14 gene, which was shown to be associated with IVM resistance in a UK isolate of C. oncophora, was not found in the IVM-resistant C. oncophora and O. ostertagi isolates investigated in this study. However, genetic analyses on C. oncophora indicated a loss in allelic ersity of the avr-14 gene in the resistant isolates compared with the susceptible isolate. This suggests that the avr-14 gene, or another genetically linked locus, is under selection in these Belgian C. oncophora isolates. Comparison of the full-length avr-14B coding sequence in the susceptible and resistant C. oncophora isolates did not show any polymorphisms specifically linked to IVM resistance, although a decrease in the number of avr-14B isoforms was observed in the resistant isolates compared with the susceptible one. Measuring the transcription levels of avr-14B in adult male and female C. oncophora and O. ostertagi worms showed significantly lower levels in resistant worms compared with susceptible ones. Whether the down-regulation of this IVM target actually contributes to the resistance mechanism in these worms remains unclear.
Transforming morning to afternoon using linear regression techniques
Publisher: IEEE
Date: 05-2014
Modeling of Charge and Quantum Capacitance in Low Effective Mass III-V FinFETs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2016
Multi-scale bio-inspired place recognition
Publisher: IEEE
Date: 05-2014
Towards training-free appearance-based localization: Probabilistic models for whole-image descriptors
Publisher: IEEE
Date: 05-2014
Thermal resistance modeling in FDSOI transistors with industry standard model BSIM-IMG
Publisher: Elsevier BV
Date: 10-2016
Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations
Publisher: IEEE
Date: 05-2020
Semi-Supervised SLAM: Leveraging Low-Cost Sensors on Underground Autonomous Vehicles for Position Tracking
Publisher: IEEE
Date: 10-2018
Juvenile hormone titre and related gene expression during the change of reproductive modes in the pea aphid
Publisher: Wiley
Date: 20-03-2014
DOI: 10.1111/J.1365-2583.2011.01111.X
Abstract: Most aphids show reproductive polyphenism, i.e. they alternate their reproductive modes from parthenogenesis to sexual reproduction in response to short photoperiods. Although juvenile hormone (JH) has been considered a likely candidate for regulating the transition from asexual to sexual reproduction after photoperiod sensing, there are few studies investigating the direct relationship between JH titres and the reproductive-mode change. In addition, the sequencing of the pea aphid genome has allowed identification of the genes involved in the JH pathway, which in turn allows us to examine their expression levels in relation to the reproductive-mode change. Using liquid chromatography-mass spectrometry in the pea aphid, JHIII titre was shown to be lower in aphids producing sexual morphs under short-day conditions than in aphids producing parthenogenetic morphs under long-day conditions. The expression levels of genes upstream and downstream of JH action were quantified by real-time quantitative reverse-transcription-PCR across the reproductive-mode change. The expression level of JH esterase, which is responsible for JH degradation, was significantly higher in aphids reared under short-day conditions. This suggests that the upregulation of the JH degradation pathway may be responsible for the lower JHIII titre in aphids exposed to short-days, leading to the production of sexual morphs.
Hierarchical Multi-Process Fusion for Visual Place Recognition
Publisher: IEEE
Date: 05-2020
Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Predicting to Improve: Integrity Measures for Assessing Visual Localization Performance
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Filter Early, Match Late: Improving Network-Based Visual Place Recognition
Publisher: IEEE
Date: 11-2019
Incorporating Hierarchical Information for UAV based Semantic Mapping
Publisher: IEEE
Date: 06-03-2021
A Bio-Inspired Goal-Directed Visual Navigation Model for Aerial Mobile Robots
Publisher: Springer Science and Business Media LLC
Date: 12-05-2020
Comparison of biofilm ecology supporting growth of individual Naegleria species in a drinking water distribution system
Publisher: Oxford University Press (OUP)
Date: 21-02-2017
Abstract: Free-living amoebae (FLA) are common components of microbial communities in drinking water distribution systems (DWDS). FLA are of clinical importance both as pathogens and as reservoirs for bacterial pathogens, so identifying the conditions promoting amoebae colonisation of DWDSs is an important public health concern for water utilities. We used high-throughput licon sequencing to compare eukaryotic and bacterial communities associated with DWDS biofilms supporting distinct FLA species (Naegleria fowleri, N. lovaniensis or Vermamoeba sp.) at sites with similar physical/chemical conditions. Eukaryote and bacterial communities were characteristics of different FLA species presence, and biofilms supporting Naegleria growth had higher bacterial richness and higher abundance of Proteobacteria, Bacteroidetes (bacteria), Nematoda and Rotifera (eukaryota). The eukaryotic community in the biofilms had the greatest difference in relation to the presence of N. fowleri, while the bacterial community identified in idual bacterial families associated with the presence of different Naegleria species. Our results demonstrate that ecogenomics data provide a powerful tool for studying the microbial and meiobiotal content of biofilms, and, in these s les can effectively discriminate biofilm communities supporting pathogenic N. fowleri. The identification of microbial species associated with N. fowleri could further be used in the management and control of N. fowleri in DWDS.
CAT-SLAM: Probabilistic localisation and mapping using a continuous appearance-based trajectory
Publisher: SAGE Publications
Date: 04-2012
Abstract: This paper describes a new system, dubbed Continuous Appearance-based Trajectory Simultaneous Localisation and Mapping (CAT-SLAM), which augments sequential appearance-based place recognition with local metric pose filtering to improve the frequency and reliability of appearance-based loop closure. As in other approaches to appearance-based mapping, loop closure is performed without calculating global feature geometry or performing 3D map construction. Loop-closure filtering uses a probabilistic distribution of possible loop closures along the robot’s previous trajectory, which is represented by a linked list of previously visited locations linked by odometric information. Sequential appearance-based place recognition and local metric pose filtering are evaluated simultaneously using a Rao–Blackwellised particle filter, which weights particles based on appearance matching over sequential frames and the similarity of robot motion along the trajectory. The particle filter explicitly models both the likelihood of revisiting previous locations and exploring new locations. A modified res ling scheme counters particle deprivation and allows loop-closure updates to be performed in constant time for a given environment. We compare the performance of CAT-SLAM with FAB-MAP (a state-of-the-art appearance-only SLAM algorithm) using multiple real-world datasets, demonstrating an increase in the number of correct loop closures detected by CAT-SLAM.
Learning spatial concepts from RatSLAM representations
Publisher: Elsevier BV
Date: 05-2007
OpenSeqSLAM2.0: An open source toolbox for visual place recognition under changing conditions
Publisher: IEEE
Date: 10-2018
Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics
Publisher: SAGE Publications
Date: 03-2023
DOI: 10.1177/02783649231167210
Abstract: We present Bayesian Controller Fusion (BCF): a hybrid control strategy that combines the strengths of traditional hand-crafted controllers and model-free deep reinforcement learning (RL). BCF thrives in the robotics domain, where reliable but suboptimal control priors exist for many tasks, but RL from scratch remains unsafe and data-inefficient. By fusing uncertainty-aware distributional outputs from each system, BCF arbitrates control between them, exploiting their respective strengths. We study BCF on two real-world robotics tasks involving navigation in a vast and long-horizon environment, and a complex reaching task that involves manipulability maximisation. For both these domains, simple handcrafted controllers exist that can solve the task at hand in a risk-averse manner but do not necessarily exhibit the optimal solution given limitations in analytical modelling, controller miscalibration and task variation. As exploration is naturally guided by the prior in the early stages of training, BCF accelerates learning, while substantially improving beyond the performance of the control prior, as the policy gains more experience. More importantly, given the risk-aversity of the control prior, BCF ensures safe exploration and deployment, where the control prior naturally dominates the action distribution in states unknown to the policy. We additionally show BCF’s applicability to the zero-shot sim-to-real setting and its ability to deal with out-of-distribution states in the real world. BCF is a promising approach towards combining the complementary strengths of deep RL and traditional robotic control, surpassing what either can achieve independently. The code and supplementary video material are made publicly available at krishanrana.github.io/bcf .
Unlocking neural complexity with a robotic key
Publisher: Wiley
Date: 09-03-2016
DOI: 10.1113/JP271444
QuadricSLAM: Dual Quadrics as SLAM Landmarks
Publisher: IEEE
Date: 06-2018
A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Variation in P450-mediated fenvalerate resistance levels is not correlated with CYP337B3 genotype in Chinese populations of Helicoverpa armigera
Publisher: Elsevier BV
Date: 06-2015
DOI: 10.1016/J.PESTBP.2014.12.004
Abstract: Metabolic resistance to synthetic pyrethroids in Helicoverpa armigera has recently been associated with the chimeric cytochrome P450 enyzme CYP337B3. One variant of the latter, CYP337B3v1, accounts for 40-50 fold resistance to fenvalerate in an Australian population while a second variant, CYP337B3v2, has been associated with ~7 fold resistance to cypermethrin in a Pakistani population. Here we show that ~250-1200 fold resistance to fenvalerate in populations of the species from northern and northwestern China is largely due to P450-based metabolism, and that CYP337B3v2 is also at high frequency in these populations but absent in a susceptible control strain. However we find little correlation between the level of resistance and CYP337B3v2 frequency, either across the resistant populations studied, or over time within them. While there is variation between populations in the levels of CYP337B3v2 expression, this is not correlated with the level of resistance either. These data suggest that much of the variation in the level of fenvalerate resistance in China is explained by P450s other than CYP337B3. We also find that both the level of resistance and CYP337B3v2 frequency decline in field populations transferred to the laboratory and remained there without fenvalerate exposure, suggesting a fitness cost to both characters in the absence of the pesticide pressure. However the declines in the two characters are not well correlated across populations, again consistent with a large contribution to the variation in resistance levels from factors other than CYP337B3.
Memorable Maps: A Framework for Re-Defining Places in Visual Place Recognition
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2021
A neural microcircuit using spike timing for novelty detection
Publisher: Frontiers Media SA
Date: 2010
FAB-MAP + RatSLAM: Appearance-based SLAM for multiple times of day
Publisher: IEEE
Date: 05-2010
CRISPR/Cas9 mediated genome editing of Helicoverpa armigera with mutations of an ABC transporter gene HaABCA2 confers resistance to Bacillus thuringiensis Cry2A toxins
Publisher: Elsevier BV
Date: 08-2017
DOI: 10.1016/J.IBMB.2017.07.002
Abstract: High levels of resistance to Bt toxin Cry2Ab have been identified to be genetically linked with loss of function mutations of an ABC transporter gene (ABCA2) in two lepidopteran insects, Helicoverpa armigera and Helicoverpa punctigera. To further confirm the causal relationship between the ABCA2 gene (HaABCA2) and Cry2Ab resistance in H. armigera, two HaABCA2 knockout strains were created from the susceptible SCD strain with the CRISPR/Cas9 genome editing system. One strain (SCD-A2KO1) is homozygous for a 2-bp deletion in exon 2 of HaABCA2 created by non-homologous end joining (NHEJ). The other strain (SCD-A2KO2) is homozygous for a 5-bp deletion in exon 18 of HaABCA2 made by homology-directed repair (HDR), which was produced to mimic the r2 resistance allele of a field-derived Cry2Ab-resistant strain from Australia. Both knockout strains obtained high levels of resistance to both Cry2Aa (>120-fold) and Cry2Ab (>100-fold) compared with the original SCD strain, but no or very limited resistance to Cry1Ac (<4-fold). Resistance to Cry2Ab in both knockouts is recessive, and genetic complementary tests confirmed Cry2Ab resistance alleles are at the same locus (i.e. HaABCA2) for the two strains. Brush border membrane vesicles (BBMVs) of midguts from both knockout strains lost binding with Cry2Ab, but maintained the same binding with Cry1Ac as the SCD strain. In vivo functional evidence from this study demonstrates knockout of HaABCA2 confers high levels of resistance to both Cry2Aa and Cry2Ab, confirming that HaABCA2 plays a key role in mediating toxicity of both Cry2Aa and Cry2Ab against H. armigera.
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation
Publisher: IEEE
Date: 05-2019
Complete Mitochondrial Genome ofHelicoverpa zea(Lepidoptera: Noctuidae) and Expression Profiles of Mitochondrial-Encoded Genes in Early and Late Embryos
Publisher: Oxford University Press (OUP)
Date: 2016
Protein-carbohydrate regulation in Helicoverpa amigera and H. punctigera and how diet protein-carbohydrate content affects insect susceptibility to Bt toxins
Publisher: Elsevier BV
Date: 04-2018
DOI: 10.1016/J.JINSPHYS.2017.07.004
Abstract: Many animals, including insects, demonstrate a remarkable ability to regulate their intake of key macronutrients (e.g., soluble protein and digestible carbohydrates), which allows them to optimize fitness and performance. Additionally, regulating the intake of these two macronutrients enhances an animal's ability to defend itself against pathogens, mitigate the effects of secondary plant metabolites, and decrease susceptibility to toxins. In this study, we first compared how Bt-resistant and -susceptible lines of Helicoverpa armigera and Helicoverpa punctigera regulate their intake of protein (p) and digestible carbohydrates (c). We found that there was no difference in the self-selected protein-carbohydrate intake target between resistant and susceptible genotypes of either species. We then explored the extent to which food protein-carbohydrate content altered the susceptibility of these species to three Bt toxins: Cry1Ac, Cry2Ab, and Vip3Aa. We found that H. armigera on diets that had protein-carbohydrate profiles that matched their self-selected protein-carbohydrate intake target were significantly less susceptible to Cry1Ac. In contrast, diet protein-carbohydrate content did not affect H. punctigera susceptibility to Cry1Ac. For both H. armigera and H. punctigera, susceptibility to Cry2Ab and Vip3Aa toxins did not change as a function of diet protein-carbohydrate profile. These results, when combined with earlier work on H. zea, suggest food protein-carbohydrate content can modify susceptibility to some Bt toxins, but not others. An increased understanding of how the nutritional environment can modify susceptibility to different Bt toxins could help improve pest management and resistance management practices.
Skyline-based localisation for aggressively manoeuvring robots using UV sensors and spherical harmonics
Publisher: IEEE
Date: 05-2016
Modeling of trapping effects in GaN HEMTs
Publisher: IEEE
Date: 12-2015
Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Modeling of nonlinear thermal resistance in FinFETs
Publisher: IOP Publishing
Date: 14-03-2016
Abstract: In this paper, self-consistent three-dimensional (3D) device simulations for exact analysis of thermal transport in FinFETs are performed. We analyze the temperature rise in FinFET devices with the variation in the number of fins ( N fin ), shape of fins and fin pitch ( F pitch ). We investigate that the thermal resistance R th has nonlinear dependency on N fin and F pitch . We formulate a model for thermal resistance behavior correctly with N fin and F pitch variation. The proposed formulation is implemented in industry standard Berkeley short-channel independent gate FET model for common multi-gate transistors (BSIM-CMG) and validated with both experimental data and TCAD simulations.
Spiking Neural Networks for Visual Place Recognition Via Weighted Neuronal Assignments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition
Publisher: IEEE
Date: 05-2018
The Potential Distribution of Invading Helicoverpa armigera in North America: Is It Just a Matter of Time?
Publisher: Public Library of Science (PLoS)
Date: 18-03-2015
Aerial SLAM with a Single Camera Using Visual Expectation
Publisher: IEEE
Date: 05-2011
A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges
Publisher: Field Robotics Publication Society
Date: 10-03-2022
DOI: 10.55417/FR.2022049
Abstract: Understanding the terrain in the upcoming path of a ground robot is one of the most challenging problems in field robotics. Terrain and traversability analysis is a multidisciplinary field combining robotics with image and signal processing, feature extraction, machine learning, three-dimensional (3D) mapping, and 3D geometry. Application scenarios range from autonomous vehicles on urban networks to agriculture, defence, exploration, mining, and search and rescue. Given the broad set of techniques available and the fast progress in this area, in this paper we organize and survey the corresponding literature, define unambiguous key terms, and discuss links among fundamental building blocks ranging from terrain classification to traversability regression. The advantages and the drawbacks of the methods are critically discussed, providing a comprehensive coverage of key aspects, including open code, available datasets for experimentation and comparisons, and important open research issues.
Spatial Mapping and Map Exploitation: A Bio-inspired Engineering Perspective
Publisher: Springer Berlin Heidelberg
Date: 2007
Pose Quality Prediction for Vision Guided Robotic Shoulder Arthroplasty
Publisher: IEEE
Date: 29-05-2023
Place categorization and semantic mapping on a mobile robot
Publisher: IEEE
Date: 05-2016
CoHOG: A Light-Weight, Compute-Efficient, and Training-Free Visual Place Recognition Technique for Changing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
VPR-Bench
Publisher: Springer Science and Business Media LLC
Date: 07-05-2021
DOI: 10.1007/S11263-021-01469-5
Abstract: Visual place recognition (VPR) is the process of recognising a previously visited place using visual information, often under varying appearance conditions and viewpoint changes and with computational constraints. VPR is related to the concepts of localisation, loop closure, image retrieval and is a critical component of many autonomous navigation systems ranging from autonomous vehicles to drones and computer vision systems. While the concept of place recognition has been around for many years, VPR research has grown rapidly as a field over the past decade due to improving camera hardware and its potential for deep learning-based techniques, and has become a widely studied topic in both the computer vision and robotics communities. This growth however has led to fragmentation and a lack of standardisation in the field, especially concerning performance evaluation. Moreover, the notion of viewpoint and illumination invariance of VPR techniques has largely been assessed qualitatively and hence ambiguously in the past. In this paper, we address these gaps through a new comprehensive open-source framework for assessing the performance of VPR techniques, dubbed “VPR-Bench”. VPR-Bench (Open-sourced at: github.com/MubarizZaffar/VPR-Bench ) introduces two much-needed capabilities for VPR researchers: firstly, it contains a benchmark of 12 fully-integrated datasets and 10 VPR techniques, and secondly, it integrates a comprehensive variation-quantified dataset for quantifying viewpoint and illumination invariance. We apply and analyse popular evaluation metrics for VPR from both the computer vision and robotics communities, and discuss how these different metrics complement and/or replace each other, depending upon the underlying applications and system requirements. Our analysis reveals that no universal SOTA VPR technique exists, since: (a) state-of-the-art (SOTA) performance is achieved by 8 out of the 10 techniques on at least one dataset, (b) SOTA technique in one community does not necessarily yield SOTA performance in the other given the differences in datasets and metrics. Furthermore, we identify key open challenges since: (c) all 10 techniques suffer greatly in perceptually-aliased and less-structured environments, (d) all techniques suffer from viewpoint variance where lateral change has less effect than 3D change, and (e) directional illumination change has more adverse effects on matching confidence than uniform illumination change. We also present detailed meta-analyses regarding the roles of varying ground-truths, platforms, application requirements and technique parameters. Finally, VPR-Bench provides a unified implementation to deploy these VPR techniques, metrics and datasets, and is extensible through templates.
Experimental comparison of odometry approaches
Publisher: Springer International Publishing
Date: 2013
Déjà vu: Scalable place recognition using mutually supportive feature frequencies
Publisher: IEEE
Date: 09-2017
RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
Publisher: IEEE
Date: 27-09-2021
Unified compact model covering drift-diffusion to ballistic carrier transport
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Semantics for Robotic Mapping, Perception and Interaction
Publisher: Now Publishers
Date: 2020
DOI: 10.1561/2300000059
The Olympics, Jesse Owens, Burke, and the Implications of Media Framing in Symbolic Boasting
Publisher: Informa UK Limited
Date: 07-2012
NeuroSLAM: a brain-inspired SLAM system for 3D environments
Publisher: Springer Science and Business Media LLC
Date: 30-09-2019
DOI: 10.1007/S00422-019-00806-9
Abstract: Roboticists have long drawn inspiration from nature to develop navigation and simultaneous localization and mapping (SLAM) systems such as RatSLAM. Animals such as birds and bats possess superlative navigation capabilities, robustly navigating over large, three-dimensional environments, leveraging an internal neural representation of space combined with external sensory cues and self-motion cues. This paper presents a novel neuro-inspired 4DoF (degrees of freedom) SLAM system named NeuroSLAM, based upon computational models of 3D grid cells and multilayered head direction cells, integrated with a vision system that provides external visual cues and self-motion cues. NeuroSLAM's neural network activity drives the creation of a multilayered graphical experience map in a real time, enabling relocalization and loop closure through sequences of familiar local visual cues. A multilayered experience map relaxation algorithm is used to correct cumulative errors in path integration after loop closure. Using both synthetic and real-world datasets comprising complex, multilayered indoor and outdoor environments, we demonstrate NeuroSLAM consistently producing topologically correct three-dimensional maps.
2D visual place recognition for domestic service robots at night
Publisher: IEEE
Date: 05-2016
Visual Place Recognition: A Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Single camera vision-only SLAM on a suburban road network
Publisher: IEEE
Date: 05-2008
Automatic Coverage Selection for Surface-Based Visual Localization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors
Publisher: IEEE
Date: 07-2019
Detection of sister-species in invasive populations of the fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) from Uganda
Publisher: Public Library of Science (PLoS)
Date: 03-04-2018
Extending RatSLAM: The Experience Mapping Algorithm
Publisher: Springer Berlin Heidelberg
Date: 2008
Synaptophysin controls synaptobrevin-II retrieval via a cryptic C-terminal interaction site
Publisher: Elsevier BV
Date: 2021
Exploration, Goal Recall, and Adapting to Change
Publisher: Springer Berlin Heidelberg
Date: 2008
Discussion
Publisher: Springer Berlin Heidelberg
Date: 2008
Biologically-inspired visual place recognition with adaptive multiple scales
Publisher: Elsevier BV
Date: 10-2017
Modeling of kink-effect in RF behaviour of GaN HEMTs using ASM-HEMT model
Publisher: IEEE
Date: 08-2016
OpenRatSLAM: an open source brain-based SLAM system
Publisher: Springer Science and Business Media LLC
Date: 21-02-2013
Analysis of cross-resistance to Vip3 proteins in eight insect colonies, from four insect species, selected for resistance to Bacillus thuringiensis insecticidal proteins
Publisher: Elsevier BV
Date: 06-2018
DOI: 10.1016/J.JIP.2018.05.004
Abstract: Bacillus thuringiensis Vip3 proteins are synthesized and secreted during the vegetative growth phase. They are activated by gut proteases, recognize and bind to midgut receptors, form pores and lyse cells. We tested the susceptibility to Vip3Aa and Vip3Ca of Cry1A-, Cry2A-, Dipel- and Vip3-resistant insect colonies from different species to determine whether resistance to other insecticidal proteins confers cross-resistance to Vip3 proteins. As expected, the colonies resistant to Cry1A proteins, Dipel (Helicoverpa armigera, Trichoplusia ni, Ostrinia furnacalis and Plodia interpunctella) or Cry2Ab (H. armigera and T. ni) were not cross-resistant to Vip3 proteins. In contrast, H. armigera colonies resistant to Vip3Aa or Vip3Aa/Cry2Ab showed cross-resistance to the Vip3Ca protein. Moreover, the Vip3Ca protein was highly toxic to O. furnacalis (LC
Deep learning features at scale for visual place recognition
Publisher: IEEE
Date: 05-2017
Corrections to “Probabilistic Visual Place Recognition for Hierarchical Localization”
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-4017
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
Publisher: IEEE
Date: 05-2020
A hierarchical model of goal directed navigation selects trajectories in a visual environment
Publisher: Elsevier BV
Date: 2015
DOI: 10.1016/J.NLM.2014.07.003
Abstract: We have developed a Hierarchical Look-Ahead Trajectory Model (HiLAM) that incorporates the firing pattern of medial entorhinal grid cells in a planning circuit that includes interactions with hippoc us and prefrontal cortex. We show the model's flexibility in representing large real world environments using odometry information obtained from challenging video sequences. We acquire the visual data from a camera mounted on a small tele-operated vehicle. The camera has a panoramic field of view with its focal point approximately 5 cm above the ground level, similar to what would be expected from a rat's point of view. Using established algorithms for calculating perceptual speed from the apparent rate of visual change over time, we generate raw dead reckoning information which loses spatial fidelity over time due to error accumulation. We rectify the loss of fidelity by exploiting the loop-closure detection ability of a biologically inspired, robot navigation model termed RatSLAM. The rectified motion information serves as a velocity input to the HiLAM to encode the environment in the form of grid cell and place cell maps. Finally, we show goal directed path planning results of HiLAM in two different environments, an indoor square maze used in rodent experiments and an outdoor arena more than two orders of magnitude larger than the indoor maze. Together these results bridge for the first time the gap between higher fidelity bio-inspired navigation models (HiLAM) and more abstracted but highly functional bio-inspired robotic mapping systems (RatSLAM), and move from simulated environments into real-world studies in rodent-sized arenas and beyond.
Action recognition: From static datasets to moving robots
Publisher: IEEE
Date: 05-2017
The race to learn: Spike timing and STDP can coordinate learning and recall in CA3
Publisher: Wiley
Date: 25-05-2011
DOI: 10.1002/HIPO.20777
Abstract: The CA3 region of the hippoc us has long been proposed as an autoassociative network performing pattern completion on known inputs. The dentate gyrus (DG) region is often proposed as a network performing the complementary function of pattern separation. Neural models of pattern completion and separation generally designate explicit learning phases to encode new information and assume an ideal fixed threshold at which to stop learning new patterns and begin recalling known patterns. Memory systems are significantly more complex in practice, with the degree of memory recall depending on context-specific goals. Here, we present our spike-timing separation and completion (STSC) model of the entorhinal cortex (EC), DG, and CA3 network, ascribing to each region a role similar to that in existing models but adding a temporal dimension by using a spiking neural network. Simulation results demonstrate that (a) spike-timing dependent plasticity in the EC-CA3 synapses provides a pattern completion ability without recurrent CA3 connections, (b) the race between activation of CA3 cells via EC-CA3 synapses and activation of the same cells via DG-CA3 synapses distinguishes novel from known inputs, and (c) modulation of the EC-CA3 synapses adjusts the learned versus test input similarity required to evoke a direct CA3 response prior to any DG activity, thereby adjusting the pattern completion threshold. These mechanisms suggest that spike timing can arbitrate between learning and recall based on the novelty of each in idual input, ensuring control of the learn-recall decision resides in the same subsystem as the learned memories themselves. The proposed modulatory signal does not override this decision but biases the system toward either learning or recall. The model provides an explanation for empirical observations that a reduction in novelty produces a corresponding reduction in the latency of responses in CA3 and CA1.
Automating analysis of vegetation with computer vision: Cover estimates and classification
Publisher: Wiley
Date: 15-05-2018
DOI: 10.1002/ECE3.4135
A RoboStack Tutorial: Using the Robot Operating System Alongside the Conda and Jupyter Data Science Ecosystems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
RatSLAM: Using models of rodent hippocampus for robot navigation and beyond
Publisher: Springer International Publishing
Date: 2016
Outdoor simultaneous localisation and mapping using RatSLAM
Publisher: Springer Berlin Heidelberg
Date: 2006
Resolution-adaptive Quadtrees for Semantic Segmentation Mapping in UAV Applications
Publisher: IEEE
Date: 05-03-2022
An Efficient and Scalable Collection of Fly-Inspired Voting Units for Visual Place Recognition in Changing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Biologically inspired visual landmark processing for simultaneous localization and mapping
Publisher: IEEE
Date: 2004
The complete mitochondrial DNA genome of a Chloridea (Heliothis) subflexa (Lepidoptera: Noctuidae) morpho-species
Publisher: Informa UK Limited
Date: 05-11-2015
DOI: 10.3109/19401736.2015.1101549
Abstract: We investigate the complete mitogenome of a pheromone-trapped morpho-species of Chloridea subflexa from Brazil (initially identified by the Sanger sequencing of partial mtCOI gene) as 15 323 bp (KT598688) via next generation sequencing platform. The mitogenome has an A/T rich base composition (A: 40.4% T: 40.3% C: 11.5% G: 7.8%), and included 13 protein-coding genes (PCGs), 22 tRNAs, 2 ribosomal RNAs and a putative replication region (ca. 323 bp). All PCGs start with a methionine (M) amino acid except the COI gene which has an arginine (R). The trnL2 and trn-Lys genes were partially embedded within the COII gene, while the trn-His gene was completely embedded within the ND4 gene. All PCGs ends with the "TAA" stop codon except ND3 which has a "TAG" stop codon.
A Method for Evaluating and Selecting Suitable Hardware for Deployment of Embedded System on UAVs
Publisher: MDPI AG
Date: 07-08-2020
DOI: 10.3390/S20164420
Abstract: The use of UAVs for remote sensing is increasing. In this paper, we demonstrate a method for evaluating and selecting suitable hardware to be used for deployment of algorithms for UAV-based remote sensing under considerations of Size, Weight, Power, and Computational constraints. These constraints hinder the deployment of rapidly evolving computer vision and robotics algorithms on UAVs, because they require intricate knowledge about the system and architecture to allow for effective implementation. We propose integrating computational monitoring techniques—profiling—with an industry standard specifying software quality—ISO 25000—and fusing both in a decision-making model—the analytic hierarchy process—to provide an informed decision basis for deploying embedded systems in the context of UAV-based remote sensing. One software package is combined in three software–hardware alternatives, which are profiled in hardware-in-the-loop simulations. Three objectives are used as inputs for the decision-making process. A Monte Carlo simulation provides insights into which decision-making parameters lead to which preferred alternative. Results indicate that local weights significantly influence the preference of an alternative. The approach enables relating complex parameters, leading to informed decisions about which hardware is deemed suitable for deployment in which case.
QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Addressing challenging place recognition tasks using generative adversarial networks
Publisher: IEEE
Date: 05-2018
Modeling of high voltage LDMOSFET using industry standard BSIM6 MOS model
Publisher: IEEE
Date: 08-2016
Routed roads: Probabilistic vision-based place recognition for changing conditions, split streets and varied viewpoints
Publisher: SAGE Publications
Date: 11-07-2016
Abstract: Vision-based place recognition is becoming an increasingly viable component of navigation systems for autonomous robots and personal aids. However, attaining robustness to variations in environmental conditions—such as time of day, weather and season—and camera viewpoint remains a major challenge. Featureless, sequence-based place recognition techniques have demonstrated promise, but often rely on long image sequences, manually-tuned parameters and exhaustive sequence match searching through multiple locations and image scales. In this paper, we address these deficiencies by implementing a condition-invariant, sequence-based place recognition algorithm suitable for networked environments, such as city streets, and routes with lateral platform shift, such as multiple-lane roads. We achieve this capability by augmenting the traditional 1D image database with a directed graph to describe the branching of contiguous sections of imagery at intersections. A particle filter is then used to efficiently explore these paths, as well as various lateral positions synthesized by rescaling imagery. Our proposed approach eliminates manual tuning of sequence length parameters, improves localization on branched routes, improves overall place recognition accuracy and coverage, and reduces computational requirements. We evaluated the new method against the original SeqSLAM and SMART algorithms on two day–night, road-based datasets and a summer–winter train dataset, where it attained superior precision-recall performance and coverage in all environments. Together, these contributions represent a significant step towards the provision of a robust, near parameter-free condition- and viewpoint-invariant visual place recognition capability for vehicles and robots.
BTEL: A Binary Tree Encoding Approach for Visual Localization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
Towards lifelong navigation and mapping in an office environment
Publisher: Springer Berlin Heidelberg
Date: 2011
Towards Simulating Semantic Onboard UAV Navigation
Publisher: IEEE
Date: 03-2020
Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework
Publisher: Springer Science and Business Media LLC
Date: 20-01-2018
DOI: 10.1007/S00422-017-0745-7
Abstract: Most robot navigation systems perform place recognition using a single-sensor modality and one, or at most two heterogeneous map scales. In contrast, mammals perform navigation by combining sensing from a wide variety of modalities including vision, auditory, olfactory and tactile senses with a multi-scale, homogeneous neural map of the environment. In this paper, we develop a multi-scale, multi-sensor system for mapping and place recognition that combines spatial localization hypotheses at different spatial scales from multiple different sensors to calculate an overall place recognition estimate. We evaluate the system's performance over three repeated 1.5-km day and night journeys across a university c us spanning outdoor and multi-level indoor environments, incorporating camera, WiFi and barometric sensory information. The system outperforms a conventional camera-only localization system, with the results demonstrating not only how combining multiple sensing modalities together improves performance, but also how combining these sensing modalities over multiple scales further improves performance over a single-scale approach. The multi-scale mapping framework enables us to analyze the naturally varying spatial acuity of different sensing modalities, revealing how the multi-scale approach captures each sensing modality at its optimal operation point where a single-scale approach does not, and enables us to then weight sensor contributions at different scales based on their utility for place recognition at that scale.
Globular cluster formation and evolution in the context of cosmological galaxy assembly: open questions
Publisher: The Royal Society
Date: 02-2018
Abstract: We discuss some of the key open questions regarding the formation and evolution of globular clusters (GCs) during galaxy formation and assembly within a cosmological framework. The current state of the art for both observations and simulations is described, and we briefly mention directions for future research. The oldest GCs have ages greater than or equal to 12.5 Gyr and formed around the time of reionization. Resolved colour-magnitude diagrams of Milky Way GCs and direct imaging of lensed proto-GCs at z ∼6 with the James Webb Space Telescope (JWST) promise further insight. GCs are known to host multiple populations of stars with variations in their chemical abundances. Recently, such multiple populations have been detected in ∼2 Gyr old compact, massive star clusters. This suggests a common, single pathway for the formation of GCs at high and low redshift. The shape of the initial mass function for GCs remains unknown however, for massive galaxies a power-law mass function is favoured. Significant progress has been made recently modelling GC formation in the context of galaxy formation, with success in reproducing many of the observed GC-galaxy scaling relations.
Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition
Publisher: IEEE
Date: 29-05-2023
Solving navigational uncertainty using grid cells on robots
Publisher: Public Library of Science (PLoS)
Date: 11-11-2010
Capping computation time and storage requirements for appearance-based localization with CAT-SLAM
Publisher: IEEE
Date: 05-2012
Long exposure localization in darkness using consumer cameras
Publisher: IEEE
Date: 05-2013
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
Publisher: IEEE
Date: 05-2019
Preferential feeding in Naegleria fowleri; intracellular bacteria isolated from amoebae in operational drinking water distribution systems
Publisher: Elsevier BV
Date: 09-2018
DOI: 10.1016/J.WATRES.2018.05.004
Abstract: The amoeba Naegleria fowleri is the causative agent of the highly fatal disease, primary amoebic meningoencephalitis, and estimated to cause 16 deaths per year in the United States alone. Colonisation of drinking water distribution systems (DWDSs) by the N. fowleri is a significant public health issue. Understanding the factors which enable this pathogen to colonise and thrive in DWDSs is critical for proper management. The microbial ecology within DWDSs may influence the ability of N. fowleri to colonise DWDSs by facilitating the availability of an appropriate food source. Using biofilm s les obtained from operational DWDSs, 16S rRNA licon metabarcoding was combined with genus-specific PCR and Sanger sequencing of intracellular associated bacteria from isolated amoeba and their parental biofilms to identify Meiothermus chliarophilus as a potential food source for N. fowleri. Meiothermus was confirmed as a food source for N. fowleri following successful serial culturing of axenic N. fowleri with M. chliarophilus or M. ruber as the sole food source. The ability to identify environmental and ecological conditions favourable to N. fowleri colonisation, including the detection of appropriate food sources such as Meiothermus, could provide water utilities with a predictive tool for managing N. fowleri colonisation within the DWDS.
RatSLAM: a hippocampal model for simultaneous localization and mapping
Publisher: IEEE
Date: 2004
Towards lifelong navigation and mapping in an office environment
Publisher: No publisher found
Date: 2009
SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights
Publisher: IEEE
Date: 05-2012
Nematode ligand-gated chloride channels: an appraisal of their involvement in macrocyclic lactone resistance and prospects for developing molecular markers
Publisher: Cambridge University Press (CUP)
Date: 03-07-2007
DOI: 10.1017/S0031182007000042
Abstract: Ligand-gated chloride channels, including the glutamate-(GluCl) and GABA-gated channels, are the targets of the macrocyclic lactone (ML) family of anthelmintics. Changes in the sequence and expression of these channels can cause resistance to the ML in laboratory models, such as Caenorhabditis elegans and Drosophila melanogaster . Mutations in multiple GluCl subunit genes are required for high-level ML resistance in C. elegans , and this can be influenced by additional mutations in gap junction and hid genes. Parasitic nematodes have a different complement of channel subunit genes from C. elegans , but a few genes, including avr-14 , are widely present. A polymorphism in an avr-14 orthologue, which makes the subunit less sensitive to ivermectin and glutamate, has been identified in Cooperia oncophora , and polymorphisms in several subunits have been reported from resistant isolates of Haemonchus contortus . This has led to suggestions that ML resistance may be polygenic. Possible reasons for this, and its consequences for the development of molecular tests for resistance, are explored.
Fast and Robust Bio-inspired Teach and Repeat Navigation
Publisher: IEEE
Date: 27-09-2021
The Effect of Years-Long Exposure to Low-Dose Colchicine on Renal and Liver Function and Blood Creatine Kinase Levels: Safety Insights from the Low-Dose Colchicine 2 (LoDoCo2) Trial
Publisher: Springer Science and Business Media LLC
Date: 08-10-2022
Improving Visual Place Recognition Performance by Maximising Complementarity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
TIMTAM: Tunnel-Image Texturally Accorded Mosaic for Location Refinement of Underground Vehicles With a Single Camera
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
Improving Worst Case Visual Localization Coverage Via Place-Specific Sub-Selection in Multi-Camera Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Complete mitochondrial genome of the soybean stem fly Melanagromyza sojae (Diptera: Agromyzidae)
Publisher: Informa UK Limited
Date: 22-03-2016
DOI: 10.3109/19401736.2015.1101550
Abstract: We report the complete mitochondrial DNA genome of the soybean stem fly (SSF) Melanagromyza sojae from Brazil Santa Catarina state based on Illumina MiSeq sequence data. The estimated mitogenome is 15 475 base pairs (bp) (KT597923), with 13 protein-coding genes (PCGs), two ribosomal RNA (rRNA) genes, and 22 tRNAs, and an estimated 579 bp AT-rich control region. Similar to other insects, the SSF mitogenome is A-T bias with 40.9% A, 36.7% T, 13.6% C, and 8.8% G. Molecular characterization of SSF mitogenome will facilitate the development of effective molecular markers, and robust and rapid identification of suspected biosecurity incursions and field infestations of this insect pest.
Adversarial discriminative sim-to-real transfer of visuo-motor policies
Publisher: SAGE Publications
Date: 19-08-2019
Abstract: Various approaches have been proposed to learn visuo-motor policies for real-world robotic applications. One solution is first learning in simulation then transferring to the real world. In the transfer, most existing approaches need real-world images with labels. However, the labeling process is often expensive or even impractical in many robotic applications. In this article, we introduce an adversarial discriminative sim-to-real transfer approach to reduce the amount of labeled real data required. The effectiveness of the approach is demonstrated with modular networks in a table-top object-reaching task where a seven-degree-of-freedom arm is controlled in velocity mode to reach a blue cuboid in clutter through visual observations from a monocular RGB camera. The adversarial transfer approach reduced the labeled real data requirement by 50%. Policies can be transferred to real environments with only 93 labeled and 186 unlabeled real images. The transferred visuo-motor policies are robust to novel (not seen in training) objects in clutter and even a moving target, achieving a 97.8% success rate and 1.8 cm control accuracy. Datasets and code are openly available.
Introduction
Publisher: Springer Berlin Heidelberg
Date: 2008
Mapping and Navigation
Publisher: Springer Berlin Heidelberg
Date: 2008
Lingodroids: Studies in spatial cognition and language
Publisher: IEEE
Date: 05-2011
Identification of ion channel genes in the Acyrthosiphon pisum genome
Publisher: Wiley
Date: 23-02-2010
DOI: 10.1111/J.1365-2583.2009.00975.X
Abstract: Aphids are major pests of crops, causing hundreds of millions of dollars worth of damage annually. Ion channel proteins are often the targets of modern insecticides and mutations in ion channel genes can lead to resistance to many leading classes of insecticides. The sequencing of the pea aphid, Acyrthosiphon pisum, genome has now allowed detailed in silico analysis of the aphid ion channels. The study has revealed significant differences in the composition of the ion channel families between the aphid and other insects. For ex le A. pisum does not appear to contain a homologue of the nACh receptor alpha 5 gene whilst the calcium channel beta subunit has been duplicated. These variations could result in differences in function or sensitivity to insecticides. The genome sequence will allow the study of aphid ion channels to be accelerated, leading to a better understanding of the function of these economically important channels. The potential for identifying novel insecticide targets within the aphid is now a step closer.
Building beliefs: Unsupervised generation of observation likelihoods for probabilistic localization in changing environments
Publisher: IEEE
Date: 09-2015
Efficient goal directed navigation using RatSLAM
Publisher: IEEE
Date: 2005
How Many Events Do You Need? Event-Based Visual Place Recognition Using Sparse But Varying Pixels
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Emulating Nature: Models of Hippocampus
Publisher: Springer Berlin Heidelberg
Date: 2008
Robotic or Bio-inspired: A Comparison
Publisher: Springer Berlin Heidelberg
Date: 2008
Robotic Mapping Methods
Publisher: Springer Berlin Heidelberg
Date: 2008
Biological Navigation Systems
Publisher: Springer Berlin Heidelberg
Date: 2008
Modeling of threshold voltage for operating point using industry standard BSIM-IMG model
Publisher: IEEE
Date: 08-2016
ACR-26: A novel nicotinic receptor subunit of parasitic nematodes
Publisher: Elsevier BV
Date: 06-2012
DOI: 10.1016/J.MOLBIOPARA.2012.02.010
Abstract: Nematode nicotinic acetylcholine receptors are the targets for many effective anthelmintics, including those recently introduced into the market. We have identified a novel nicotinic receptor subunit sequence, acr-26, that is expressed in all the animal parasitic nematodes we examined from clades III, IV and V, but is not present in the genomes of Trichinella spiralis, Caenorhabditis elegans, Pristionchus pacificus and Meloidogyne spp. In Ascaris suum, ACR-26 is expressed on muscle cells isolated from the head, but not from the mid-body region. Sequence comparisons with other vertebrate and nematode subunits suggested that ACR-26 may be capable of forming a functional homomeric receptor when acr-26 cRNA was injected into Xenopus oocytes along with Xenopus laevis ric-3 cRNA we occasionally observed the formation of acetylcholine- and nicotine-sensitive channels. The unreliable expression of ACR-26 in vitro may suggest that additional subunits or chaperones may be required for efficient formation of the functional receptors. ACR-26 may represent a novel target for the development of cholinergic anthelmintics specific for animal parasites.
Goal Memory: A Pilot Study
Publisher: Springer Berlin Heidelberg
Date: 2008
Biologically inspired SLAM using Wi-Fi
Publisher: IEEE
Date: 09-2014
Characterization of a Drinking Water Distribution Pipeline Terminally Colonized byNaegleria fowleri
Publisher: American Chemical Society (ACS)
Date: 24-02-2016
Abstract: Free-living amoebae, such as Naegleria fowleri, Acanthamoeba spp., and Vermamoeba spp., have been identified as organisms of concern due to their role as hosts for pathogenic bacteria and as agents of human disease. In particular, N. fowleri is known to cause the disease primary amoebic meningoencephalitis (PAM) and can be found in drinking water systems in many countries. Understanding the temporal dynamics in relation to environmental and biological factors is vital for developing management tools for mitigating the risks of PAM. Characterizing drinking water systems in Western Australia with a combination of physical, chemical and biological measurements over the course of a year showed a close association of N. fowleri with free chlorine and distance from treatment over the course of a year. This information can be used to help design optimal management strategies for the control of N. fowleri in drinking-water-distribution systems.
Pilot Study of a Hippocampal Model
Publisher: Springer Berlin Heidelberg
Date: 2008
C. Elegans inspires self-driving cars
Publisher: Springer Science and Business Media LLC
Date: 19-10-2020
Outdoor simultaneous localisation and mapping using RatSLAM
Publisher: No publisher found
Date: 2006
RatSLAM: An Extended Hippocampal Model
Publisher: Springer Berlin Heidelberg
Date: 2008
Bio-inspired Multi-scale Visual Place Recognition for the Aerial Vehicle Navigation
Publisher: Springer Singapore
Date: 30-10-2021
Characterization of the complete mitochondrial genome of the Australian Heliothine moth,Australothis rubrescens(Lepidoptera: Noctuidae)
Publisher: Informa UK Limited
Date: 22-01-2014
DOI: 10.3109/19401736.2013.878927
Abstract: Australothis rubrescens is basal to the Helicoverpa lineage containing pests such as Helicoverpa armigera, H. assulta and H. gelotopoeon. An illumina library of DNA from A. rubrescens was constructed and shallow sequencing and assembly of the DNA was conducted. The complete mitochondrial genome was identified using similarity to the H. armigera mitochondrial genome. The mitochondrial genome of A. rubrescens is 15,382 bp in length. It contains 37 genes which are shared with the vast majority of animals: 13 protein-coding genes (PCGs), 2 ribosomal RNAs, 22 transfer RNAs and a non-coding AT-rich region (Table 1). As found in other Lepidopterans, the arrangement of all tRNAs of the A. rubrescens is identical to most insects. The complete mitochondrial genome of A. rubrescens will be an important tool in understanding the evolutionary history of the Heliothine moths.
The Influence of Making Predictions on the Accuracy of Numerosity Estimates in Elementary-Aged Children
Publisher: Springer Science and Business Media LLC
Date: 29-01-2022
Supervised and Unsupervised Linear Learning Techniques for Visual Place Recognition in Changing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
Multimodal Trip Hazard Affordance Detection on Construction Sites
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
All-environment visual place recognition with SMART
Publisher: IEEE
Date: 05-2014
Multiple recombination events between two cytochrome P450 loci contribute to global pyrethroid resistance in Helicoverpa armigera
Publisher: Public Library of Science (PLoS)
Date: 11-2018
Bio-inspired multi-scale fusion
Publisher: Springer Science and Business Media LLC
Date: 04-2020
Mitochondrial DNA and trade data support multiple origins of Helicoverpa armigera (Lepidoptera, Noctuidae) in Brazil
Publisher: Springer Science and Business Media LLC
Date: 28-03-2017
DOI: 10.1038/SREP45302
Abstract: The Old World bollworm Helicoverpa armigera is now established in Brazil but efforts to identify incursion origin(s) and pathway(s) have met with limited success due to the patchiness of available data. Using international agricultural/horticultural commodity trade data and mitochondrial DNA (mtDNA) cytochrome oxidase I (COI) and cytochrome b (Cyt b ) gene markers, we inferred the origins and incursion pathways into Brazil. We detected 20 mtDNA haplotypes from six Brazilian states, eight of which were new to our 97 global COI-Cyt b haplotype database. Direct sequence matches indicated five Brazilian haplotypes had Asian, African, and European origins. We identified 45 parsimoniously informative sites and multiple substitutions per site within the concatenated (945 bp) nucleotide dataset, implying that probabilistic phylogenetic analysis methods are needed. High ersity and signatures of uniquely shared haplotypes with erse localities combined with the trade data suggested multiple incursions and introduction origins in Brazil. Increasing agricultural/horticultural trade activities between the Old and New Worlds represents a significant biosecurity risk factor. Identifying pest origins will enable resistance profiling that reflects countries of origin to be included when developing a resistance management strategy, while identifying incursion pathways will improve biosecurity protocols and risk analysis at biosecurity hotspots including national ports.
Modeling of source/drain access resistances and their temperature dependence in GaN HEMTs
Publisher: IEEE
Date: 08-2016
Principles of goal-directed spatial robot navigation in biomimetic models
Publisher: The Royal Society
Date: 05-11-2014
Abstract: Mobile robots and animals alike must effectively navigate their environments in order to achieve their goals. For animals goal-directed navigation facilitates finding food, seeking shelter or migration similarly robots perform goal-directed navigation to find a charging station, get out of the rain or guide a person to a destination. This similarity in tasks extends to the environment as well increasingly, mobile robots are operating in the same underwater, ground and aerial environments that animals do. Yet despite these similarities, goal-directed navigation research in robotics and biology has proceeded largely in parallel, linked only by a small amount of interdisciplinary research spanning both areas. Most state-of-the-art robotic navigation systems employ a range of sensors, world representations and navigation algorithms that seem far removed from what we know of how animals navigate their navigation systems are shaped by key principles of navigation in ‘real-world’ environments including dealing with uncertainty in sensing, landmark observation and world modelling. By contrast, biomimetic animal navigation models produce plausible animal navigation behaviour in a range of laboratory experimental navigation paradigms, typically without addressing many of these robotic navigation principles. In this paper, we attempt to link robotics and biology by reviewing the current state of the art in conventional and biomimetic goal-directed navigation models, focusing on the key principles of goal-oriented robotic navigation and the extent to which these principles have been adapted by biomimetic navigation models and why.
OpenFABMAP: An open source toolbox for appearance-based loop closure detection
Publisher: IEEE
Date: 05-2012
Hybrid robot control and SLAM for persistent navigation and mapping
Publisher: Elsevier BV
Date: 09-2010
Vision‐based Simultaneous Localization and Mapping in Changing Outdoor Environments
Publisher: Wiley
Date: 11-08-2014
DOI: 10.1002/ROB.21532
Persistent navigation and mapping using a biologically inspired slam system
Publisher: SAGE Publications
Date: 21-07-2010
Abstract: The challenge of persistent navigation and mapping is to develop an autonomous robot system that can simultaneously localize, map and navigate over the lifetime of the robot with little or no human intervention. Most solutions to the simultaneous localization and mapping (SLAM) problem aim to produce highly accurate maps of areas that are assumed to be static. In contrast, solutions for persistent navigation and mapping must produce reliable goal-directed navigation outcomes in an environment that is assumed to be in constant flux. We investigate the persistent navigation and mapping problem in the context of an autonomous robot that performs mock deliveries in a working office environment over a two-week period. The solution was based on the biologically inspired visual SLAM system, RatSLAM. RatSLAM performed SLAM continuously while interacting with global and local navigation systems, and a task selection module that selected between exploration, delivery, and recharging modes. The robot performed 1,143 delivery tasks to 11 different locations with only one delivery failure (from which it recovered), traveled a total distance of more than 40 km over 37 hours of active operation, and recharged autonomously a total of 23 times.
Isolating, characterising and identifying a Cry1Ac resistance mutation in field populations of Helicoverpa punctigera
Publisher: Springer Science and Business Media LLC
Date: 08-02-2018
DOI: 10.1038/S41598-018-21012-W
Abstract: Transgenic cotton expressing insecticidal proteins from Bacillus thuringiensis (Bt) has been grown in Australia for over 20 years and resistance remains the biggest threat. The native moth, Helicoverpa punctigera is a significant pest of cotton. A genotype causing resistance to Cry1Ac in H. punctigera was isolated from the field and a homozygous line established. The phenotype is recessive and homozygous in iduals possess 113 fold resistance to Cry1Ac. In iduals that carry Cry1Ac resistance genes are rare in Australia with a frequency of 0.033 being detected in field populations. RNAseq, RT-PCR and DNA sequencing reveals a single nucleotide polymorphism at a splice site in the cadherin gene as the causal mutation, resulting in the partial transcription of the intron and a premature stop codon. Analysis of Cry1Ac binding to H. punctigera brush border membrane vesicles showed that it is unaffected by the disrupted cadherin gene. This suggests that the major Cry1Ac target is not cadherin but that this molecule plays a key role in resistance and therefore the mode of action. This work adds to our knowledge of resistance mechanisms in H. punctigera and the growing literature around the role of cadherin in the mode of action of Cry1 type Bt proteins.
Delta Descriptors: Change-Based Place Representation for Robust Visual Localization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Self-Driving Vehicles: Key Technical Challenges and Progress Off the Road
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Automatic image scaling for place recognition in changing environments
Publisher: IEEE
Date: 05-2015
Semantic–geometric visual place recognition: a new perspective for reconciling opposing views
Publisher: SAGE Publications
Date: 08-04-2019
Abstract: Human drivers are capable of recognizing places from a previous journey even when viewing them from the opposite direction during the return trip under radically different environmental conditions, without needing to look back or employ a [Formula: see text] camera or LIDAR sensor. Such navigation capabilities are attributed in large part to the robust semantic scene understanding capabilities of humans. However, for an autonomous robot or vehicle, achieving such human-like visual place recognition capability presents three major challenges: (1) dealing with a limited amount of commonly observable visual content when viewing the same place from the opposite direction (2) dealing with significant lateral viewpoint changes caused by opposing directions of travel taking place on opposite sides of the road and (3) dealing with a radically changed scene appearance due to environmental conditions such as time of day, season, and weather. Current state-of-the-art place recognition systems have only addressed these three challenges in isolation or in pairs, typically relying on appearance-based, deep-learnt place representations. In this paper, we present a novel, semantics-based system that for the first time solves all three challenges simultaneously. We propose a hybrid image descriptor that semantically aggregates salient visual information, complemented by appearance-based description, and augment a conventional coarse-to-fine recognition pipeline with keypoint correspondences extracted from within the convolutional feature maps of a pre-trained network. Finally, we introduce descriptor normalization and local score enhancement strategies for improving the robustness of the system. Using both existing benchmark datasets and extensive new datasets that for the first time combine the three challenges of opposing viewpoints, lateral viewpoint shifts, and extreme appearance change, we show that our system can achieve practical place recognition performance where existing state-of-the-art methods fail.
Transgenic cowpeas (Vigna unguiculata L. Walp) expressing Bacillus thuringiensis Vip3Ba protein are protected against the Maruca pod borer (Maruca vitrata)
Publisher: Springer Science and Business Media LLC
Date: 28-07-2017
RF Modeling of FDSOI Transistors Using Industry Standard BSIM-IMG Model
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
Antihypertensive drug effects on long-term blood pressure: an individual-level data meta-analysis of randomised clinical trials
Publisher: BMJ
Date: 20-01-2022
DOI: 10.1136/HEARTJNL-2021-320171
Abstract: Evidence from randomised trials of pharmacological treatments on long-term blood pressure (BP) reduction is limited. We investigated the antihypertensive drug effects on BP over time and across different participant characteristics. We conducted an in idual patient-level data meta-analysis of 52 large-scale randomised clinical trials in the Blood Pressure Lowering Treatment Trialists’ Collaboration using mixed models to examine treatment effects on BP over 4 years of mean follow-up. There were 363 684 participants (42% women), with baseline mean age=65 years and mean systolic/diastolic BP=152/87 mm Hg, and among whom 19% were current smokers, 49% had cardiovascular disease, 28% had diabetes and 69% were taking antihypertensive treatment at baseline. Drugs were effective in lowering BP showing maximal effect after 12 months and gradually attenuating towards later years. Based on measures taken ≥12 months postrandomisation, mean systolic/diastolic BP difference (95% CI) between more and less intense BP-lowering treatment was −11.1 (−11.3 to −10.8)/−5.6 (−5.7 to −5.4) mm Hg between active treatment and placebo was −5.1 (−5.3 to −5.0)/−2.3 (−2.4 to −2.2) mm Hg and between active and control arms for drug comparison trials was −1.4 (−1.5 to −1.3)/−0.6 (−0.7 to −0.6) mm Hg. BP reductions were observed across different baseline BP values and ages, and by sex, history of cardiovascular disease and diabetes and prior antihypertensive treatment use. These findings suggest that BP-lowering pharmacotherapy is effective in lowering BP, up to 4 years on average, in people with different characteristics. Appropriate treatment strategies are needed to sustain substantive long-term BP reductions.
A functional DNA methylation system in the pea aphid, Acyrthosiphon pisum
Publisher: Wiley
Date: 23-02-2010
DOI: 10.1111/J.1365-2583.2009.00974.X
Abstract: Methylation of cytosine is one of the main epigenetic mechanisms involved in controlling gene expression. Here we show that the pea aphid (Acyrthosiphon pisum) genome possesses homologues to all the DNA methyltransferases found in vertebrates, and that 0.69% (+/-0.25%) of all cytosines are methylated. Identified methylation sites are predominantly restricted to the coding sequence of genes at CpG sites. We identify twelve methylated genes, including genes that interact with juvenile hormone, a key endocrine signal in insects. Bioinformatic prediction using CpG ratios for all predicted genes suggest that a large proportion of genes are methylated within the pea aphid.
Using Strategic Movement to Calibrate a Neural Compass: A Spiking Network for Tracking Head Direction in Rats and Robots
Publisher: Public Library of Science (PLoS)
Date: 04-10-2011
Mitochondrial DNA COI characterization of Helicoverpa armigera (Lepidoptera: Noctuidae) from Paraguay and Uruguay
Publisher: Genetics and Molecular Research
Date: 2016
DOI: 10.4238/GMR.15028292
Abstract: Since its detection in Brazil in 2013, the Old World cotton bollworm Helicoverpa armigera has been reported in Argentina, Paraguay, and Bolivia. Here we present evidence extending the South American range of H. armigera to Uruguay, using polymerase chain reaction and sequencing of the partial mitochondrial DNA (mtDNA) cytochrome oxidase I region. Molecular characterization of this gene region from in iduals from Paraguay also supports previous morphological identification of H. armigera in Paraguay. Shared mtDNA haplotypes in H. armigera from Brazil, Uruguay, and Paraguay were identified. Additional surveying of populations in this region will be imperative to better monitor and understand factors that are underpinning its presence and successful adaptation in these South American regions. We discuss our findings with respect to the development of resistance pest management strategies of this invasive insect pest in a predominantly monoculture soybean crop landscape in the Southern Cone region.
Look No Further: Adapting the Localization Sensory Window to the Temporal Characteristics of the Environment
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2017
Modeling of GeOI and validation with Ge-CMOS inverter circuit using BSIM-IMG industry standard model
Publisher: IEEE
Date: 08-2016
Brain-inspired sensor fusion for navigating robots
Publisher: IEEE
Date: 05-2013
Autonomous Multisensor Calibration and Closed‐loop Fusion for SLAM
Publisher: Wiley
Date: 27-02-2014
DOI: 10.1002/ROB.21500
Bioinformatic prediction, deep sequencing of microRNAs and expression analysis during phenotypic plasticity in the pea aphid, Acyrthosiphon pisum
Publisher: Springer Science and Business Media LLC
Date: 05-05-2010
Abstract: Post-transcriptional regulation in eukaryotes can be operated through microRNA (miRNAs) mediated gene silencing. MiRNAs are small (18-25 nucleotides) non-coding RNAs that play crucial role in regulation of gene expression in eukaryotes. In insects, miRNAs have been shown to be involved in multiple mechanisms such as embryonic development, tissue differentiation, metamorphosis or circadian rhythm. Insect miRNAs have been identified in different species belonging to five orders: Coleoptera, Diptera, Hymenoptera, Lepidoptera and Orthoptera. We developed high throughput Solexa sequencing and bioinformatic analyses of the genome of the pea aphid Acyrthosiphon pisum in order to identify the first miRNAs from a hemipteran insect. By combining these methods we identified 149 miRNAs including 55 conserved and 94 new miRNAs. Moreover, we investigated the regulation of these miRNAs in different alternative morphs of the pea aphid by analysing the expression of miRNAs across the switch of reproduction mode. Pea aphid microRNA sequences have been posted to miRBase: microrna.sanger.ac.uk/sequences/ Our study has identified candidates as putative regulators involved in reproductive polyphenism in aphids and opens new avenues for further functional analyses.
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Predictive effective mobility model for FDSOI transistors using technology parameters
Publisher: IEEE
Date: 08-2016
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles
Publisher: IEEE
Date: 05-2019
Odometry-driven inference to link multiple exemplars of a location
Publisher: IEEE
Date: 11-2013
SwitchHit: A Probabilistic, Complementarity-Based Switching System for Improved Visual Place Recognition in Changing Environments
Publisher: IEEE
Date: 23-10-2022
Identification of cDNAs induced by the organophosphate trichlorphon in the parasitic copepod Lepeophtheirus salmonis (Copepoda; Caligidae)
Publisher: Elsevier BV
Date: 05-2007
Featureless Visual Processing for SLAM in Changing Outdoor Environments
Publisher: Springer Berlin Heidelberg
Date: 31-12-2013
Learning to Fuse Multiscale Features for Visual Place Recognition
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Experimental comparison of odometry approaches
Publisher: No publisher found
Date: 2013
Multifaceted biological insights from a draft genome sequence of the tobacco hornworm moth, Manduca sexta
Publisher: Elsevier BV
Date: 09-2016
Early bird
Publisher: SCITEPRESS - Science and Technology Publications
Date: 2021
Analytical modeling and experimental validation of threshold voltage in BSIM6 MOSFET model
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics
Publisher: Robotics: Science and Systems Foundation
Date: 26-06-2018
ConvSequential-SLAM: A Sequence-Based, Training-Less Visual Place Recognition Technique for Changing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
The implementation of a novel, bio-inspired, robotic security system
Publisher: IEEE
Date: 05-2009
High-fidelity simulation for evaluating robotic vision performance
Publisher: IEEE
Date: 10-2016
ASM-HEMT: Compact model for GaN HEMTs
Publisher: IEEE
Date: 06-2015
MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Soybean Stem Fly, Melanagromyza sojae (Diptera: Agromyzidae), in the New World: detection of high genetic diversity from soybean fields in Brazil
Publisher: Genetics and Molecular Research
Date: 2016
DOI: 10.4238/GMR.15028610
Abstract: Soybean Stem Fly (SSF), Melanagromyza sojae (Zehntner), belongs to the family Agromyzidae and is highly polyphagous, attacking many plant species of the family Fabaceae, including soybean and other beans. SSF is regarded as one of the most important pests in soybean fields of Asia (e.g., China, India), North East Africa (e.g., Egypt), parts of Russia, and South East Asia. Despite reports of Agromyzidae flies infesting soybean fields in Rio Grande do Sul State (Brazil) in 1983 and 2009 and periodic interceptions of SSF since the 1940s by the USA quarantine authorities, SSF has not been officially reported to have successfully established in the North and South Americas. In South America, M. sojae was recently confirmed using morphology and its complete mitochondrial DNA (mtDNA) was characterized. In the present study, we surveyed the genetic ersity of M. sojae, collected directly from soybean host plants, using partial mtDNA cytochrome oxidase I (COI) gene, and provide evidence of multiple (>10) maternal lineages in SSF populations in South America, potentially representing multiple incursion events. However, a single incursion involving multiple-female founders could not be ruled out. We identified a haplotype that was common in the fields of two Brazilian states and the in iduals collected from Australia in 2013. The implications of SSF incursions in southern Brazil are discussed in relation to the current soybean agricultural practices, highlighting an urgent need for better understanding of SSF population movements in the New World, which is necessary for developing effective management options for this significant soybean pest.
Probabilistic Visual Place Recognition for Hierarchical Localization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Bt resistance in Australian insect pest species
Publisher: Elsevier BV
Date: 06-2016
DOI: 10.1016/J.COIS.2016.04.002
Abstract: Bt cotton was initially deployed in Australia in the mid-1990s to control the polyphagous pest Helicoverpa armigera (Hübner) which was intractably resistant to synthetic chemistries. A conservative strategy was enforced and resistance to first generation single toxin technology was managed. A decade later, shortly after the release of dual toxin cotton, high baseline frequencies of alleles conferring resistance to one of its components prompted a reassessment of the thinking behind the potential risks to this technology. Several reviews detail the characteristics of this resistance and the nuances of deploying first and second generation Bt cotton in Australia. Here we explore recent advances and future possibilities to estimate Bt resistance in Australian pest species and define what we see as the critical data for enabling effective pre-emptive strategies. We also foreshadow the imminent deployment of three toxin (Cry1Ac, Cry2Ab, Vip3A) Bollgard 3 cotton, and examine aspects of resistance to its novel component, Vip3A, that we believe may impact on its stewardship.
Uncertainty for identifying open-set errors in visual object detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination
Publisher: IEEE
Date: 07-2017
Genomic innovations, transcriptional plasticity and gene loss underlying the evolution and divergence of two highly polyphagous and invasive Helicoverpa pest species
Publisher: Springer Science and Business Media LLC
Date: 31-07-2017
Rhythmic representations: Learning periodic patterns for scalable place recognition at a sublinear storage cost
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
A Hierarchical Dual Model of Environment- And Place-Specific Utility for Visual Place Recognition
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Are feeding preferences and insecticide resistance associated with the size of detoxifying enzyme families in insect herbivores?
Publisher: Elsevier BV
Date: 02-2016
DOI: 10.1016/J.COIS.2015.12.001
Abstract: The size of gene families associated with xenobiotic detoxification in insects may be associated with the complexity of their diets and their propensities to develop insecticide resistance. We test these hypotheses by collating the annotations of cytochrome P450, carboxyl/cholinesterase and glutathione S-transferase genes in 65 insect species with data on their host use and history of insecticide resistance. We find 2-4 fold variation across the species in the numbers of these genes and, in some orders, especially the Hymenoptera, there is a clear relationship between the numbers of genes and feeding preferences. However in other orders, in particular the Lepidoptera, no such relationship is apparent. The size of these three gene families also tend to correlate with insecticide resistance propensity but this may not be an independent effect because species with broader host ranges are more likely to be pests that are heavily sprayed with insecticides.
Towards persistent indoor appearance-based localization, mapping and navigation using CAT-Graph
Publisher: IEEE
Date: 10-2012
Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition
Publisher: IEEE
Date: 29-05-2023
Autonomous movement-driven place recognition calibration for generic multi-sensor robot platforms
Publisher: IEEE
Date: 11-2013
Intelligent Reference Curation for Visual Place Recognition Via Bayesian Selective Fusion
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Comparative analysis of detoxification enzymes in Acyrthosiphon pisum and Myzus persicae
Publisher: Wiley
Date: 23-02-2010
DOI: 10.1111/J.1365-2583.2009.00973.X
Abstract: Herbivorous insects use detoxification enzymes, including cytochrome P450 monooxygenases, glutathione S-transferases, and carboxy/cholinesterases, to metabolize otherwise deleterious plant secondary metabolites. Whereas Acyrthosiphon pisum (pea aphid) feeds almost exclusively from the Fabaceae, Myzus persicae (green peach aphid) feeds from hundreds of species in more than forty plant families. Therefore, M. persicae as a species would be exposed to a greater ersity of plant secondary metabolites than A. pisum, and has been predicted to require a larger complement of detoxification enzymes. A comparison of M. persicae cDNA and A. pisum genomic sequences is partially consistent with this hypothesis. There is evidence of at least 40% more cytochrome P450 genes in M. persicae than in A. pisum. In contrast, no major differences were found between the two species in the numbers of glutathione S-transferases, and carboxy/cholinesterases. However, given the incomplete M. persicae cDNA data set, the number of identified detoxification genes in this species is likely to be an underestimate.
Distance metric learning for feature-agnostic place recognition
Publisher: IEEE
Date: 09-2015
Continuous appearance-based trajectory SLAM
Publisher: IEEE
Date: 05-2011
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
Publisher: IEEE
Date: 06-2021
Exploring Performance Bounds of Visual Place Recognition Using Extended Precision
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Where Is Your Place, Visual Place Recognition?
Publisher: International Joint Conferences on Artificial Intelligence Organization
Date: 08-2021
Abstract: Visual Place Recognition (VPR) is often characterized as being able to recognize the same place despite significant changes in appearance and viewpoint. VPR is a key component of Spatial Artificial Intelligence, enabling robotic platforms and intelligent augmentation platforms such as augmented reality devices to perceive and understand the physical world. In this paper, we observe that there are three "drivers" that impose requirements on spatially intelligent agents and thus VPR systems: 1) the particular agent including its sensors and computational resources, 2) the operating environment of this agent, and 3) the specific task that the artificial agent carries out. In this paper, we characterize and survey key works in the VPR area considering those drivers, including their place representation and place matching choices. We also provide a new definition of VPR based on the visual overlap - akin to spatial view cells in the brain - that enables us to find similarities and differences to other research areas in the robotics and computer vision fields. We identify several open challenges and suggest areas that require more in-depth attention in future works.
A Hybrid Compact Neural Architecture for Visual Place Recognition
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
The RatSLAM project: Robot spatial navigation
Publisher: Cambridge University Press
Date: 09-2011
Insect resistance to Bacillus thuringiensis toxin Cry2Ab is conferred by mutations in an ABC transporter subfamily A protein
Publisher: Public Library of Science (PLoS)
Date: 19-11-2015
Mapping a suburb with a single camera using a biologically inspired SLAM system
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2008
The limits and potentials of deep learning for robotics
Publisher: SAGE Publications
Date: 04-2018
Abstract: The application of deep learning in robotics leads to very specific problems and research questions that are typically not addressed by the computer vision and machine learning communities. In this paper we discuss a number of robotics-specific learning, reasoning, and embodiment challenges for deep learning. We explain the need for better evaluation metrics, highlight the importance and unique challenges for deep robotic learning in simulation, and explore the spectrum between purely data-driven and model-driven approaches. We hope this paper provides a motivating overview of important research directions to overcome the current limitations, and helps to fulfill the promising potentials of deep learning in robotics.
Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Characterization of the resistance to Vip3Aa in Helicoverpa armigera from Australia and the role of midgut processing and receptor binding
Publisher: Springer Science and Business Media LLC
Date: 20-04-2016
DOI: 10.1038/SREP24311
Abstract: Crops expressing genes from Bacillus thuringiensis (Bt crops) are among the most successful technologies developed for the control of pests but the evolution of resistance to them remains a challenge. Insect resistant cotton and maize expressing the Bt Vip3Aa protein were recently commercialized, though not yet in Australia. We found that, although relatively high, the frequency of alleles for resistance to Vip3Aa in field populations of H. armigera in Australia did not increase over the past four seasons until 2014/15. Three new isofemale lines were determined to be allelic with previously isolated lines, suggesting that they belong to one common gene and this mechanism is relatively frequent. Vip3Aa-resistance does not confer cross-resistance to Cry1Ac or Cry2Ab. Vip3Aa was labeled with 125 I and used to show specific binding to H. armigera brush-border membrane vesicles (BBMV). Binding was of high affinity ( K d = 25 and 19 nM for susceptible and resistant insects, respectively) and the concentration of binding sites was high ( R t = 140 pmol/mg for both). Despite the narrow-spectrum resistance, binding of 125 I-labeled Vip3Aa to BBMV of resistant and susceptible insects was not significantly different. Proteolytic conversion of Vip3Aa protoxin into the activated toxin rendered the same products, though it was significantly slower in resistant insects.
Hybridization and gene flow in the mega-pest lineage of moth, Helicoverpa
Publisher: Proceedings of the National Academy of Sciences
Date: 02-04-2018
Abstract: Helicoverpa armigera is a major agricultural and horticultural pest that recently spread from its historical distribution throughout much of the Old World to the Americas, where it is already causing hundreds of millions of dollars in damage every year. The species is notoriously quick to generate and disseminate pesticide resistance throughout its range and has a wider host range than the native Helicoverpa zea . Hybridization between the two species increases the opportunity for novel, agriculturally problematic ecotypes to emerge and spread through the Americas.
Expansion of Genes Encoding piRNA-Associated Argonaute Proteins in the Pea Aphid: Diversification of Expression Profiles in Different Plastic Morphs
Publisher: Public Library of Science (PLoS)
Date: 05-12-2011
A Binary Optimization Approach for Constrained K-Means Clustering
Publisher: Springer International Publishing
Date: 2019
Novel Multirate Digital Filter for EEG on FPGA
Publisher: IEEE
Date: 12-2017
Vision-based place recognition: how low can you go?
Publisher: SAGE Publications
Date: 06-2013
Abstract: In this paper we use the algorithm SeqSLAM to address the question, how little and what quality of visual information is needed to localize along a familiar route? We conduct a comprehensive investigation of place recognition performance on seven datasets while varying image resolution (primarily 1 to 512 pixel images), pixel bit depth, field of view, motion blur, image compression and matching sequence length. Results confirm that place recognition using single images or short image sequences is poor, but improves to match or exceed current benchmarks as the matching sequence length increases. We then present place recognition results from two experiments where low-quality imagery is directly caused by sensor limitations in one, place recognition is achieved along an unlit mountain road by using noisy, long-exposure blurred images, and in the other, two single pixel light sensors are used to localize in an indoor environment. We also show failure modes caused by pose variance and sequence aliasing, and discuss ways in which they may be overcome. By showing how place recognition along a route is feasible even with severely degraded image sequences, we hope to provoke a re-examination of how we develop and test future localization and mapping systems.
Dual Cry2Ab and Vip3A Resistant Strains of <I>Helicoverpa armigera</I> and <I>Helicoverpa punctigera</I> (Lepidoptera: Noctuidae); Testing Linkage Between Loci and Monitoring o
Publisher: Oxford University Press (OUP)
Date: 08-2014
DOI: 10.1603/EC13558
Abstract: Considerable attention has been given to delaying the evolution of insect resistance to toxins produced by transgenic crops. The major pests of cotton in Australia are the Lepidoptera Helicoverpa armigera (Hubner, 1805) and Helicoverpa punctigera (Wallengren), and the toxins deployed in current and imminent transgenic cotton varieties are Cry1Ac, Cry2Ab and Vip3A from Bacillus thuringiensis. In this study, lines that carry alleles conferring resistance to Cry2Ab and Vip3A were isolated using F2 tests. Extensive work on the Cry2Ab resistant lines, and preliminary work on the Vip3A resistant lines, suggested a single common resistance to each toxin in both species thereby justifying the use of more efficient F1 tests as the primary means for monitoring changes over time. A potential further efficiency could be gained by developing a single resistant line that carries both types of Bt resistance. Herein we report on work with both H. armigera and H. punctigera that tests whether dual Cry2Ab-Vip3A resistant lines can be developed and, if so, whether they can be used to effectively monitor resistance frequencies. Furthermore, the creation of dual resistant lines allowed linkage between the Cry2Ab and Vip3A resistances to be investigated for H. punctigera. We show that dual resistant lines can be used to increase the efficiency of the F1 screen for recessive alleles, and that in H. punctigera there is no linkage between Cry2Ab and Vip3A resistance.
What localizes beneath: A metric multisensor localization and mapping system for autonomous underground mining vehicles
Publisher: Wiley
Date: 08-2020
DOI: 10.1002/ROB.21978
Highly-Efficient Binary Neural Networks for Visual Place Recognition
Publisher: IEEE
Date: 23-10-2022
SeqNet
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
A Brave New World for an Old World Pest: Helicoverpa armigera (Lepidoptera: Noctuidae) in Brazil
Publisher: Public Library of Science (PLoS)
Date: 18-11-2013
Modeling of Subsurface Leakage Current in Low V-TH Short Channel MOSFET at Accumulation Bias
Publisher: No publisher found
Date: 2016
Detection and measurement of benzimidazole resistance alleles in Haemonchus contortus using real-time PCR with locked nucleic acid Taqman probes
Publisher: Elsevier BV
Date: 03-2007
DOI: 10.1016/J.VETPAR.2006.10.014
Abstract: Benzimidazole resistance is a common problem in parasitic nematodes of ruminants and early detection is vital if its spread is to be monitored and controlled. Real time PCR offers a fast and reliable method for rapid detection and measurement of resistance allele frequencies. In Haemonchus contortus a single nucleotide polymorphism at codon 200 of the beta-tubulin gene (TTC to TAC), causing a phenylalanine to tyrosine amino acid substitution, has been shown to be involved in many cases of resistance. Locked nucleic acid (LNA) Taqman probes have been used in this work to detect and measure the frequency of resistance alleles in in idual and multiple H. contortus. Detection of resistant genotypes using LNA Taqman probes in in idual H. contortus is simpler and more reliable than with previously described assays. Measurement of the frequency of resistant alleles in populations of H. contortus was achieved by using the cycle threshold (C(t)) values and a standard curve derived from populations with known allele frequencies. Results using the LNA probes on in idual and multiple worms gave similar results to the allele specific PCR. The sensitivity of the LNA assay on multiple nematodes allowed reliable detection of > or = 10% resistance allele frequency. Using the final fluorescence method, it was possible to differentiate populations with approximately 0, 5 and 10% resistance allele frequencies.
The cys-loop ligand-gated ion channel gene family of Brugia malayi and Trichinella spiralis: a comparison with Caenorhabditis elegans
Publisher: Springer Science and Business Media LLC
Date: 20-10-2007
DOI: 10.1007/S10158-007-0056-0
Abstract: Nematode cys-loop ligand gated ion channels (CLGIC) mediate neurotransmission and are important targets for anthelmintics in parasitic nematodes. The CLGIC superfamily in nematodes includes ion channels gated by acetylcholine, gamma-amino butyric acid (GABA), glutamate, glycine and 5-HT. The macrocyclic lactones and the nicotinic agonists are important groups of anthelmintics that target the glutamate gated chloride channels and the nicotinic acetylcholine receptors, respectively. The model organism Caenorhabditis elegans has the most erse families of cys-loop LGIC known in any organism. Many parasitic nematodes have homologues of C. elegans receptors but to date no genome wide investigations have been done. The genome sequencing projects of Brugia malayi (clade III) and Trichinella spiralis (clade I) have allowed us to characterise the CLGIC families in these species. Although the main groups of CLGICs targeted by anthelmintics are represented in both the nematode genomes investigated here, the CLGIC family is much smaller in B. malayi and T. spiralis, suggesting that care must be taken when using C. elegans as a model organism for distantly related nematodes.
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Amount: $5,000,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE220100075
Start Date: 11-2022
End Date: 12-2023
Amount: $2,098,355.00
Funder: Australian Research Council
View Funded ActivityAustralian Laureate Fellowships - Grant ID: FL210100156
Start Date: 04-2022
End Date: 03-2027
Amount: $2,716,041.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP210200793
Start Date: 10-2022
End Date: 10-2025
Amount: $797,827.00
Funder: Australian Research Council
View Funded ActivityIndustrial Transformation Training Centres - Grant ID: IC190100020
Start Date: 08-2020
End Date: 08-2025
Amount: $3,998,796.00
Funder: Australian Research Council
View Funded Activity